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Job Overview:
The Data Quality Engineer is a critical role to the design, build, and maintenance of the data quality (DQ) infrastructure that underpins Legal’s regulatory reporting, governance, analytics, and AI‑enablement objectives. This role blends technical engineering, data quality management, and platform expertise, ensuring Legal’s most critical data assets are accurate, reliable, and fully compliant with Citi policies—including EUC/ITESS requirements.
Responsibilities
Data Quality Engineering & Pipeline Development
- Build and maintain DQ pipelines in Dataiku using visual recipes, code recipes (Python), and automation frameworks.
- Enhance and refactor existing solutions to support environment‑agnostic SDLC operation, ensuring portability across development, QA, UAT,
and production environments.
- Implement scalable code components for profiling, threshold checks, rule execution, and exception handling.
- Partner with Tech (GFT, CTI) to design and deploy changes aligned to enterprise engineering standards.
DQ Rule, Exception & Issue Lifecycle Support
- Translate DQ requirements into executable rule logic; implement thresholds, severity tiers, and alerting.
- Maintain exceptions and concerns workflows, including automated monitoring, status updates, and reporting.
- Support LGRU DQRE initiatives (Phase 1, Phase 2) including user training, lessons learned, and post-go‑live enhancements.
Integration with EDO Tooling & Enterprise Controls
- Lead technical work to maintain integration of Legal’s DQ platform with EDO‑approved tools.
- Support Legal’s DQ platform as ITESS - including documentation, compliance with Citi ITESS SDLC and release requirements, dependencies, and cont
📌 Data Quality Engineer (Mumbai)
🏢 Citi
📍 Mumbai